Journals / International Journal of Sport Culture and Science / 2024 / Cilt: 12 Sayı: 4

Predictives of Digital Game Addiction in Turkish High School Students

Ferhat Çifçi(DİCLE ÜNİVERSİTESİ BEDEN EĞİTİMİ VE SPOR YÜKSEKOKULU)0000-0002-5568-7837
Seniye Çabuk Kalkışım(TC MİLLİ EĞİTİM BAKANLIĞI TRABZON)0000-0002-7528-9991
Pages
473–489
Publication Date
2024-12-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, it can be said that high school students' digital game addiction levels are low, and gender, household income and parental marital status are predictors of digital game addiction.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Abstract Online gaming addiction, which is widely seen in children and young people all over the world, is a serious public health problem.
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Key Findings & Data:A total of 295 high school students, 175 female and 120 male, participated in the study.
💡
Conclusion & Impact:As a result, it can be said that high school students' digital game addiction levels are low, and gender, household income and parental marital status are predictors of digital game addiction.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Digital game · addiction · Parental attitude

Abstract

Abstract Online gaming addiction, which is widely seen in children and young people all over the world, is a serious public health problem. It is important to determine the antecedents of this problem in preventing it. In this context, the aim of the research is to determine the possible effects of gender, age, school type, household monthly income, parental marital status and parental attitude in determining digital game addiction of Turkish high school students. The research used a relational screening model. A total of 295 high school students, 175 female and 120 male, participated in the study. Participants were included in the research using the convenient sampling method. Data were collected using the 'Digital Game Addiction Scale', 'Parenting Attitude Scale' and 'Personal Information Form'. Research findings showed that there was a relationship between high school students' digital game addiction and gender (r=.274), household income (r=.166) and parental marital status (r=143). Additionally, gender, household income and parental marital status were found to predict digital game addiction (R2=.127; F=6.954; p=000). As a result, it can be said that high school students' digital game addiction levels are low, and gender, household income and parental marital status are predictors of digital game addiction.

🔖

Cite This Article

Çifçi, F., Kalkışım, S. Ç. (2024). Predictives of Digital Game Addiction in Turkish High School Students. International Journal of Sport Culture and Science, Cilt: 12 Sayı: 4, 473–489. https://ajindex.com/articles/1498289

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